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From Home Microelectronics Engineer Jobs in California

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From Home Microelectronics Engineer information

What is the difference between From Home Microelectronics Engineer vs From Home Electronics Design Engineer?

AspectFrom Home Microelectronics EngineerFrom Home Electronics Design Engineer
CredentialsBachelor's or higher in Microelectronics, Electrical EngineeringBachelor's or higher in Electrical Engineering, Electronics
Work EnvironmentRemote, often involves CAD tools, simulation softwareRemote or hybrid, focuses on circuit and PCB design
Industry UsageSemiconductor companies, microchip manufacturingConsumer electronics, embedded systems

From Home Microelectronics Engineers focus on designing and testing microchips and integrated circuits, often requiring specialized knowledge in semiconductor fabrication. In contrast, From Home Electronics Design Engineers typically work on creating electronic circuits and devices, emphasizing PCB layout and component selection. Both roles can be performed remotely and share similar educational backgrounds, but their specific focus areas and industry applications differ.

What are the most commonly searched types of Microelectronics Engineer jobs in California? The most popular types of Microelectronics Engineer jobs in California are:
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From Home Microelectronics Engineer jobs near you

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago

Job description

Job Description

AI Backend Engineer, Work From Home

We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform.  This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience.  This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems.  We have multiple openings for this position.  This position is 100% Remote.

AI Backend Engineer Responsibilities:

- Build and operate backend systems that serve AI-powered insurance workflows in production.

- Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.

- Build inference pipelines for LLM-based and AI-assisted automation systems.

- Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).

- Design stable service boundaries between backend systems, ML components, and product APIs.

- Implement observability: logging, metrics, tracing, alerting, and incident response workflows.

- Debug production issues across distributed AI systems and resolve root causes.

- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.

- Continuously improve system reliability, scalability, and performance.

AI Backend Engineer Outcomes:

- AI backend systems run reliably at scale with low latency and high availability.

- AI workflows are stable, observable, and production-ready across multiple products.

- System performance improves continuously through real-world feedback and optimization.

- Production incidents are quickly detected, diagnosed, and resolved.

- AI capabilities are seamlessly integrated into global customer and internal workflows.

Qualifications

AI Backend Engineer Qualifications:

- Strong backend engineering experience in production systems.

- Experience building or operating high-throughput, low-latency services.

- Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).

- Experience with distributed systems and production debugging.

- Strong understanding of APIs, data flows, and system design principles.

- Experience with observability tools (logging, monitoring, tracing).

- Strong ownership mindset and bias toward shipping.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:  Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an AI Backend Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire AI Backend Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

All your information will be kept confidential according to EEO guidelines.

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